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- W4251280602 abstract "In this chapter we consider methods appropriate for drawing inferences in the presence of missing data. We identify three types of nonresponse or “missingness mechanisms”, and then discuss inference for data missing at random in a 2 × 2 table with a monotone missingness pattern. We discuss methods for analyzing several 2 × 2 tables, and later do the same for logistic regression models when covariate data are missing at random. We also consider missing outcomes in logistic regression. Later, we present methods appropriate for non-ignorably missing data, and then discuss the case of non-monotone missingness. A problem solving section appears at the end of the chapter." @default.
- W4251280602 created "2022-05-12" @default.
- W4251280602 date "2003-09-05" @default.
- W4251280602 modified "2023-09-24" @default.
- W4251280602 title "Missing Data" @default.
- W4251280602 doi "https://doi.org/10.1002/0471445428.ch16" @default.
- W4251280602 hasPublicationYear "2003" @default.
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